Low-rank tensor methods for Markov chains with applications to tumor progression models. - Peter Georg; Lars Grasedyck; Maren Klever; Rudolf Schill; Rainer Spang; Tilo Wettig (CoRR, 2020)

A parameter-dependent smoother for the multigrid method. - Lars Grasedyck; Maren Klever; Christian Löbbert; Tim A. Werthmann (CoRR, 2020)

Overcoming Observation Bias for Cancer Progression Modeling. - Rudolf Schill; Maren Klever; Andreas Lösch; Y. Linda Hu; Stefan Vocht; Kevin Rupp; Lars Grasedyck; Rainer Spang; Niko Beerenwinkel (RECOMB, 2024)

Modeling metastatic progression from cross-sectional cancer genomics data. - Kevin Rupp; Andreas Lösch; Y. Linda Hu; Chenxi Nie; Rudolf Schill; Maren Klever; Simon Pfahler; Lars Grasedyck; Tilo Wettig; Niko Beerenwinkel; Rainer Spang (Bioinform., 2024)

Correcting for Observation Bias in Cancer Progression Modeling. - Rudolf Schill; Maren Klever; Andreas Lösch; Y. Linda Hu; Stefan Vocht; Kevin Rupp; Lars Grasedyck; Rainer Spang; Niko Beerenwinkel (J. Comput. Biol., 2024)

Taming numerical imprecision by adapting the KL divergence to negative probabilities. - Simon Pfahler; Peter Georg; Rudolf Schill; Maren Klever; Lars Grasedyck; Rainer Spang; Tilo Wettig (Stat. Comput., 2024)

Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models. - Kevin Rupp; Rudolf Schill; Jonas Süskind; Peter Georg; Maren Klever; Andreas Lösch; Lars Grasedyck; Tilo Wettig; Rainer Spang (Comput. Stat., 2024)

Reconstructing Disease Histories in Huge Discrete State Spaces. - Rudolf Schill; Maren Klever; Kevin Rupp; Y. Linda Hu; Andreas Lösch; Peter Georg; Simon Pfahler; Stefan Vocht; Stefan Hansch; Tilo Wettig; Lars Grasedyck; Rainer Spang (Künstliche Intell., 2025)